[1] N Zhang, J F Sun, P Jiang, et al. Pose estimation algorithms for lidar scene based on point normal vector. Infrared and Laser Engineering, 49, 0105004(2020).

[2] G Q Ma, L Liu, Z H Yu, et al. Application and development of three-dimensional profile measurement for large and complex surface. Chinese Optics, 12, 214-228(2019).

[3] J Cao, Q He, C Y Xu, F H Zhang, et al. Research progress of APD three-dimensional imaging lidar. Infrared and Laser Engineering, 49, 20190549(2020).

[4] Z J Zhang, X J Chen, Y J Cao, et al. Application of 3D reconstruction of relic sites combined with laser and vision point cloud. Chinese Optics, 47, 273-282(2020).

[5] P J Besl, H D Mckay. A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256(1992).

[6] Jia Chen, Xiaojun Wu, M Y Wang, et al. 3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm. Optics & Laser Technology, 45, 414-423(2013).

[7] J Han, P Yin, Y He, et al. Enhanced ICP for the registration of large-scale 3D environment models: An experimental study. Sensors, 16, 228-242(2016).

[8] W Yang, M Q Zhou, G H Di, et al. Hierarchical optimization of skull point cloud registration. Optics and Precision Engineering, 27, 2730-2739(2019).

[9] D G Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, 91-110(2004).

[10] [10] Yu Z. Intrinsic shape signatures: A shape de f 3D object recognition[C]IEEE International Conference on Computer Vision Wkshops. IEEE, 2009: 689696.

[11] I Sipiran, B Bustos. Harris 3D: A robust extension of the Harris operator for interest point detection on 3D meshes. Visual Computer, 27, 963(2011).

[12] M I Patel, V K Thakar, S K Shah. Image registration of satellite images with varying illumination level using HOG Descriptor based SURF. Procedia Computer Science, 93, 382-388(2016).

[13] H W Chen, X C Yuan, L S Wu, et al. Automatic point cloud feature-line extraction algorithm based on curvature-mutation analysis. Optics and Precision Engineering, 27, 1218-1228(2019).

[14] C Chao, J W Chuan, B Ty, et al. A 3D point cloud filtering algorithm based on surface variation factor classification. Procedia Computer Science, 154, 54-61(2019).

[15] [15] Gu X Y. Research on the key technologies of point clouds processing in 3D reconstruction[D]. Qinhuangdao: Yanshan University, 2015: 2931. (in Chinese)

[16] [16] Rusu R B, Blodow N, Beetz M. Fast Point Feature Histograms (FPFH) f 3D registration[C]2009 IEEE International Conference on Robotics Automation, 2009: 32123217.

[17] Xin Li, Site Mo, Hua Huang, . et al. Multi-source point cloud registration method based on automatically calculating overlap. Infrared and Laser Engineering, 50, 20210088(2021).